




"""simple docstring"""

import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__magic_name__				     =     get_tests_dir("""fixtures/test_sentencepiece_with_bytefallback.model""")






@require_sentencepiece
@require_tokenizers
class        SCREAMING_SNAKE_CASE__   (						snake_case__ ,				unittest.TestCase      ):
   snake_case			   =       GPTSwaTokenizer
   snake_case			   =       False
   snake_case			   =       True
   snake_case			   =       False
   def    __UpperCAmelCase       (       self			:				Optional[Any]							):
          super().setUp()

          # We have a SentencePiece fixture for testing
          lowerCamelCase__          =						GPTSwaTokenizer(_UpperCAmelCase   ,	eos_token="""<unk>"""   ,	bos_token="""<unk>"""   ,	pad_token="""<unk>"""							)

          tokenizer.save_pretrained(self.tmpdirname							)
   def    __UpperCAmelCase       (       self			:				Tuple   ,	SCREAMING_SNAKE_CASE_			:				Optional[Any]							):
          lowerCamelCase__          =						"""This is a test"""
          lowerCamelCase__          =						"""This is a test"""
          return input_text, output_text
   def    __UpperCAmelCase       (       self			:				Any							):
          lowerCamelCase__          =						"""<s>"""
          lowerCamelCase__          =						1

          self.assertEqual(self.get_tokenizer()._convert_token_to_id(_UpperCAmelCase							)   ,	_UpperCAmelCase							)
          self.assertEqual(self.get_tokenizer()._convert_id_to_token(_UpperCAmelCase							)   ,	_UpperCAmelCase							)
   def    __UpperCAmelCase       (       self			:				Optional[Any]							):
          lowerCamelCase__          =						list(self.get_tokenizer().get_vocab().keys()							)

          self.assertEqual(vocab_keys[0]   ,	"""<unk>"""							)
          self.assertEqual(vocab_keys[1]   ,	"""<s>"""							)
          self.assertEqual(vocab_keys[-1]   ,	"""j"""							)
          self.assertEqual(len(_UpperCAmelCase							)   ,	2000							)
   def    __UpperCAmelCase       (       self			:				Dict							):
          self.assertEqual(self.get_tokenizer().vocab_size   ,	2000							)
   def    __UpperCAmelCase       (       self			:				Dict							):
          lowerCamelCase__          =						GPTSwaTokenizer(_UpperCAmelCase							)

          lowerCamelCase__          =						tokenizer.tokenize("""This is a test"""							)
          self.assertListEqual(_UpperCAmelCase   ,	["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

          self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase							)   ,	[465, 287, 265, 631, 842]							)

          lowerCamelCase__          =						tokenizer.tokenize("""I was born in 92000, and this is falsé."""							)
          # fmt: off
          self.assertListEqual(
              _UpperCAmelCase   ,	["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""]   ,	)
          # fmt: on

          lowerCamelCase__          =						tokenizer.convert_tokens_to_ids(_UpperCAmelCase							)
          self.assertListEqual(
              _UpperCAmelCase   ,	[262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260]   ,	)

          lowerCamelCase__          =						tokenizer.convert_ids_to_tokens(_UpperCAmelCase							)
          # fmt: off
          self.assertListEqual(
              _UpperCAmelCase   ,	["""▁I""", """▁was""", """▁bor""", """n""", """▁in""", """▁""", """<0x39>""", """2""", """0""", """0""", """0""", """,""", """▁and""", """▁this""", """▁is""", """▁f""", """al""", """s""", """<0xC3>""", """<0xA9>""", """."""]							)
          # fmt: on
   def    __UpperCAmelCase       (       self			:				Optional[int]							):
          lowerCamelCase__          =						GPTSwaTokenizer(_UpperCAmelCase							)
          lowerCamelCase__          =						["""This is a test""", """I was born in 92000, and this is falsé."""]
          lowerCamelCase__          =						[
              [465, 287, 265, 631, 842],
              [262, 272, 1525, 286, 271, 268, 60, 916, 633, 633, 633, 259, 266, 301, 287, 384, 367, 263, 198, 172, 260],
          ]

          # Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
          for text, expected_ids in zip(_UpperCAmelCase   ,	_UpperCAmelCase							):
                 self.assertListEqual(tokenizer.encode_fast(_UpperCAmelCase							)   ,	_UpperCAmelCase							)

          # Test that decode_fast returns the input text
          for text, token_ids in zip(_UpperCAmelCase   ,	_UpperCAmelCase							):
                 self.assertEqual(tokenizer.decode_fast(_UpperCAmelCase							)   ,	_UpperCAmelCase							)





   @slow
   def    __UpperCAmelCase       (       self			:				List[str]							):
          lowerCamelCase__          =						[
              """<|python|>def fibonacci(n)\n    if n < 0:\n        print(\'Incorrect input\')""",
              """Hey there, how are you doing this fine day?""",
              """This is a text with a trailing spaces followed by a dot     .""",
              """Häj sväjs lillebrör! =)""",
              """Det är inget fel på Mr. Cool""",
          ]

          # fmt: off
          lowerCamelCase__          =						{"""input_ids""": [[6_3423, 5, 6811, 1_4954, 282, 816, 3821, 6_3466, 6_3425, 6_3462, 18, 6_3978, 678, 301, 1320, 6_3423, 6_3455, 6_3458, 18, 6_3982, 4246, 3940, 1901, 4_7789, 5547, 1_8994], [1_9630, 1100, 6_3446, 1342, 633, 544, 4488, 593, 5102, 2416, 6_3495, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1652, 428, 268, 1936, 515, 268, 5_8593, 2_2413, 9106, 546, 268, 3_3213, 6_3979, 698, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_5130, 6_3450, 924, 6_3449, 2249, 4062, 1558, 318, 6_3504, 2_1498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [509, 377, 2827, 2559, 332, 6575, 6_3443, 2_6801, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """token_type_ids""": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
          # fmt: on
          self.tokenizer_integration_test_util(
              expected_encoding=_UpperCAmelCase   ,	model_name="""AI-Sweden/gpt-sw3-126m"""   ,	sequences=_UpperCAmelCase   ,	)











'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
			if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
			from .pipeline_unclip import UnCLIPPipeline
			from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
			from .text_proj import UnCLIPTextProjModel




